From Sensor Fusion to Software-Defined Perception: The Evolution of Three Dimensional Vision Systems

Authors

  • Vedashree Kedar Karandikar

Keywords:

Software-Defined Perception, Stereo Vision, Autonomous Systems, Depth Estimation, Camera-Based Sensing

Abstract

The landscape of autonomous machine perception has undergone a fundamental transformation in recentyears, moving away from the conventional multi-sensor approach that dominated the field for decades.Traditional autonomous systems relied on complex sensorsuites combining radar, LiDAR, and camerasin tandem, an architecture that delivered reliable environmental understanding but atconsiderable cost interms of hardware expenses, calibration complexity,

References

Michael Adewale Olufade, et al., "Multimodal Sensor Fusion for Autonomous Systems: Integrating Data from Various Sensors to Improve Decision-making in Autonomous Vehicles and Robotics," Journal of Basic and Applied Research International, 2025. Available: https://ikprress.org/index.php/JOBARI/article/view/9405

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Published

2025-12-31

How to Cite

Vedashree Kedar Karandikar. (2025). From Sensor Fusion to Software-Defined Perception: The Evolution of Three Dimensional Vision Systems . Journal of Computational Analysis and Applications (JoCAAA), 34(12), 847–861. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4592

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Section

Articles